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Chidubem Arachie
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2020 – today
- 2023
- [i6]You Lu, Chidubem Arachie, Bert Huang:
Weakly Supervised Label Learning Flows. CoRR abs/2302.09649 (2023) - 2022
- [b1]Chidubem Arachie:
Learning with Constraint-Based Weak Supervision. Virginia Tech, Blacksburg, VA, USA, 2022 - [c4]Zhaobin Kuang, Chidubem G. Arachie, Bangyong Liang, Pradyumna Narayana, Giulia DeSalvo, Michael S. Quinn, Bert Huang, Geoffrey Downs, Yang Yang:
Firebolt: Weak Supervision Under Weaker Assumptions. AISTATS 2022: 8214-8259 - [i5]Chidubem Arachie, Bert Huang:
Data Consistency for Weakly Supervised Learning. CoRR abs/2202.03987 (2022) - 2021
- [j1]Chidubem Arachie, Bert Huang:
A General Framework for Adversarial Label Learning. J. Mach. Learn. Res. 22: 118:1-118:33 (2021) - [c3]Chidubem Arachie, Bert Huang:
Constrained labeling for weakly supervised learning. UAI 2021: 236-246 - 2020
- [c2]Chidubem Arachie, Manas Gaur
, Sam Anzaroot, William Groves, Ke Zhang
, Alejandro Jaimes:
Unsupervised Detection of Sub-Events in Large Scale Disasters. AAAI 2020: 354-361 - [i4]Chidubem Arachie, Bert Huang:
Constrained Labeling for Weakly Supervised Learning. CoRR abs/2009.07360 (2020)
2010 – 2019
- 2019
- [c1]Chidubem Arachie, Bert Huang:
Adversarial Label Learning. AAAI 2019: 3183-3190 - [i3]Chidubem Arachie, Bert Huang:
An Adaptable Framework for Deep Adversarial Label Learning from Weak Supervision. CoRR abs/1906.00512 (2019) - [i2]Chidubem Arachie, Manas Gaur, Sam Anzaroot, William Groves, Ke Zhang, Alejandro Jaimes:
Unsupervised Detection of Sub-events in Large Scale Disasters. CoRR abs/1912.13332 (2019) - 2018
- [i1]Chidubem Arachie, Bert Huang:
Adversarial Labeling for Learning without Labels. CoRR abs/1805.08877 (2018)
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